CN105202623A - Method for predicting heating peak modulation capacity of heat supply unit - Google Patents
Method for predicting heating peak modulation capacity of heat supply unit Download PDFInfo
- Publication number
- CN105202623A CN105202623A CN201510605520.XA CN201510605520A CN105202623A CN 105202623 A CN105202623 A CN 105202623A CN 201510605520 A CN201510605520 A CN 201510605520A CN 105202623 A CN105202623 A CN 105202623A
- Authority
- CN
- China
- Prior art keywords
- heat
- heating
- temperature
- actual
- formula
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B10/00—Integration of renewable energy sources in buildings
- Y02B10/70—Hybrid systems, e.g. uninterruptible or back-up power supplies integrating renewable energies
Landscapes
- Air Conditioning Control Device (AREA)
Abstract
The invention relates to a method for predicting heating peak modulation capacity of a heat supply unit. The method is characterized by comprising the steps of selecting at least one representative power plant, and performing data collection on heat supply design data, heat supply device conditions, industrial heat load and heating thermal load mediums, parameters and modes of the heat supply unit; through data analysis and theoretical calculation, determining design thermal load and the heat dissipation area of a radiator, considering impact analysis of temperature changes on building heat dissipating capacity and heating capacity, and predicting the heating period peak modulation load of the power plant. The method has the advantages of being scientific, rational and high in practicality. By utilizing the method, the maximum power generating and heat supply potential of the heat supply unit can be brought into full play, and the problem of difficulty in heating period power grid peak modulation is effectively relieved and solved.
Description
Technical field
The present invention relates to heating technology field, is a kind of thermal power plant unit heating peak modulation capacity Forecasting Methodology.
Background technology
Along with the northern area of China installed capacity in power grid rapidly increases, and concentrated supply of heating in the city area increases fast, Thermal Corp's peaking boiler fails synchronously to configure, part does not even configure peaking boiler for thermal region, the large portion of heat supply task even all transfers to steam power plant to be responsible for, the generating set originally needing " thermoelectric linkage " is made to need " electricity determining by heat " to run, winter, electric load adjustment was subject to the restriction of thermal load demands, the peak modulation capacity of unit is restricted, and greatly has influence on the balancing the load of northern heat supply area power grid.
Usually all impetus is used for how being optimized thermal power plant unit heating peak regulation in prior art, and has no bibliographical information and the practical application of its heating peak modulation capacity being carried out to forecasting research.
Summary of the invention
The object of the invention is, there is provided a kind of scientific and reasonable, practical, predict the peak modulation capacity of thermal power plant unit heating accurately Forecasting Methodology, utilize the method can give full play to thermal power plant unit maximum generation and heat supply potentiality, effectively alleviate and solve the problem of heating period peak load regulation network difficulty.
The technical scheme realizing goal of the invention employing is: a kind of thermal power plant unit heating peak modulation capacity Forecasting Methodology, and it is characterized in that, it comprises the following steps:
(a) data acquisition link
Select representative at least one family power plant, the heat supply design data of its thermal power plant unit, heating equipment situation, industrial thermic load and Heating Load medium, parameter, mode are collected;
(b) data analysis, theory calculate link
1) design heating load for thermal region is determined
The basic heat loss method adopting building to go along with sb. to guard him calculates
Q′＝Q′
1·j+Q′
1·x+Q′
2+Q′
3(1-1)
The design heating load of Q ' in formula-heating system, Q '
1jthe basic heat loss of-building enclosure, Q '
1xthe correction heat consumption of-building enclosure, Q '
2-heat loss by infiltration, Q '
3-cold wind invades heat consumption;
The basic heat loss Q ' of building enclosure
1jequal it building enclosure each, window, wall, ground, roof basic heat loss summation
Q′
1·j＝ΣK
iF
i(t
n-t′
w)a(1-2)
K in formula
ithe heat transfer coefficient of-building enclosure, W/ (m
2dEG C), F
ithe area of-building enclosure, m
2, t
n-winter indoor calculate temperature, DEG C, t '
w-heating outdoor calculate temperature, DEG C, the temperature difference correction factor of α-building enclosure,
The correction heat consumption of building enclosure is edited according to Lu Yaoqing, published by China Construction Industry Press, the related request of 1987.12 " the heating ventilator design manuals " published, relevant correction is carried out to amendment of Correction Factor for Orientation, additional factor for wind force, additional factor for room height, wherein amendment of Correction Factor for Orientation is selected according to the common Souteern Exposure of the northern area of China building construction, amendment of Correction Factor for Orientation x
chbe chosen as-15%; Additional factor for wind force x
faccording to the actual conditions of the mean wind speed 2-3m/s of representative power plant location heating season, need not consider that wind-force adds; Additional factor for room height x
gas requested, when room height is greater than 4m, often exceeding 1m should add 2%, heat loss by infiltration Q '
2budgetary estimate method-rate of ventilation the method for civil buildings is adopted to calculate
Q′
2＝0.278n
kV
nc
pρ
w(t
n-t′
w)(1-3)
N in formula
kthe rate of ventilation in-room, secondary/h, can have exterior window or external door n by one side
kbe that 1/4 ~ 2/3, two faces have exterior window or external door n
kbe that 1/2 ~ 1, three faces have exterior window or external door n
kbe 1 ~ 1.5, entrance hall n
kbe 2, V
nthe internal volume in-room, m
3, c
pthe specific heat at constant pressure of-cold air, c
p=1kJ/ (kg DEG C), ρ
watmospheric density under-heating outdoor calculate temperature, kg/m
3,
Cold wind invades heat consumption Q '
3determination: according to representative power plant for the actual conditions in thermal region, civil buildings due to the external door short time open cause cold air to invade indoor heat consumption loss to account for the ratio of overall heat consumption less, the external door of the public building of long-term unlatching generally has warm air curtain to cover, therefore cold wind intrusion heat consumption is also chosen as 0;
2) radiator heat-dissipation area
Radiator heat-dissipation area F
scalculate by formula (2-1)
K in formula
sthe heat transfer coefficient of-radiator, W/ (m
2dEG C), t
pjheating agent mean temperature in-radiator, DEG C, β
1-radiator panel load number correction factor, β
2-radiator type of attachment correction factor, β
3-radiator installation form correction factor,
Heating agent mean temperature in radiator
the design load t of radiator feedwater and return water temperature
sg, t
sh95 DEG C and 70 DEG C are respectively, then t according to heating network design temperature
pj=82.5 DEG C, β
1, β
2, β
3all can select according to the relevant criterion of described " heating ventilator design manual ", after the heat transfer coefficient of radiator is selected, radiator heat-dissipation area F
scan ask, and F
sbe a definite value after determining, no longer change;
3) consider that temperature Change is to the impact analysis of building heat dissipation capacity and heating load
According to the standard of the temperature up to standard 18 DEG C of China's heat supply in winter indoor temperature, when ambient temperature changes, the true heat gain value of building is
Q＝Q
1·j+Q
1·x+Q
2+Q
3(3-1)
The true heat gain value of Q-heating system in formula, Q
1jthe actual heat consumption of-building enclosure, Q
1xthe actual correction heat consumption of-building enclosure, Q
2the actual heat consumption of-Air Infiltration, Q
3-cold wind invades actual heat consumption,
In formula, the computing formula of each heat consumption is with reference to the formula of formula 1-2 and 1-3, the heating outdoor calculate temperature in formula is changed into the outdoor actual temperature of heating and calculates,
Actual heating amount Q
gfor
Q
g＝KF
sΔt
m(3-2)
K in formula-heat supply network overall heat exchange coefficient, Δ t
mthe logarithmic temperature difference of-heat supply network heat exchange,
Δ t
max=t
g-t
w, Δ t
min=t
h-t
n, t
g-actual feed temperature, t
h-actual temperature of return water, t
w-actual outdoor temperature, t
n-actual indoor temperature, gets 18 DEG C,
After confession is thermally-stabilised, indoor temperature is that maintenance 18 DEG C is constant, can think that actual heating amount and actual heat consumption reach dynamic balance, i.e. Q=Q
g, simultaneous thus, the function obtaining heat supply network overall heat exchange COEFFICIENT K is
X in this function
ch, x
f, x
g, c
pall selected; When outdoor temperature one timing, ρ
wcan look into; V
nwith Σ K
if
ialso can according to data acquisitions such as the area ratio of window to wall of the absolute altitude of construction area, building, building, therefore, this function is exactly the functional relation about heat supply network feed temperature, return water temperature and indoor and outdoor temperature;
4) power plant's heating period Peak Load prediction
Utilize the specified extraction pressure working condition chart of representative power plant cogeneration turbine, and in conjunction with the prediction of heating load, realize the prediction of Turbo-generator Set electromotive power output, on this basis, and prediction has been made to the peak modulation capacity of representative thermal power plant unit heat supply phase.
A kind of thermal power plant unit heating peak modulation capacity Forecasting Methodology of the present invention, due to the statistical analysis by supplying dsc data for thermal power plant unit Heating Period different in thermal region to the north, determine each thermal power plant unit heating demand at different ambient temperatures, under the condition meeting unit safety operation and heat supply user demand, the peak modulation capacity of heating period thermal power plant unit is predicted, be conducive to excavating unit maximum generation and heat supply potentiality, alleviate the problem of heating period peak load regulation network difficulty, be conducive to the safe and stable operation of electrical network.Select the north for representative power plant in thermal region, to its unit heating phase heat supply data analysis, filter out True Data, as the basis of the peak modulation capacity of warm period thermal power plant unit being carried out to forecasting research.The change of environment temperature is that heat supplies how many main factors, heating load forecasting is all generally that tracking environmental temperature is carried out, by supplying the analysis of dsc data to Heating Period, find out K value (per area per degree Celsius lower thermic load value) size, characteristic and Changing Pattern, thus thermic load required under doping varying environment temperature.Theoretical validation K value is in the feasibility of thermal power plant unit peak regulation predicted application.The advantages such as the method has scientific and reasonable, practical, utilize the method can give full play to thermal power plant unit maximum generation and heat supply potentiality, effectively alleviate and solve the problem of heating period peak load regulation network difficulty.
Accompanying drawing explanation
The specified extraction pressure working condition chart of Fig. 1 representative power plant cogeneration turbine.
Detailed description of the invention
Below in conjunction with drawings and Examples, the invention will be further described.
A kind of thermal power plant unit heating peak modulation capacity Forecasting Methodology of the present invention, comprises the following steps:
A data acquisition link
This link is mainly through on the basis of steam power plant's investigation, selecting net energy Fukang, Xinjiang electricity generating corporation, Ltd of state (hereinafter referred to as Lu Kang power plant) representatively property power plant to supplying in boundary.Shandong health power plant design two adjustment steam-extracting type thermal power plant unit, adds extraction steam for factories, steam turbine rated power 150MW through transformation in 2010, the maximum heating of the design unit amount of drawing gas 130t/h, pressure 0.256MPa, temperature 250.1 DEG C; The maximum extraction steam for factories amount 30t/h of design unit, pressure 2.722MPa, temperature 318.5 DEG C.What Lu Kang power plant was responsible for does not have peaking boiler in thermal region, and whole thermic load is all responsible for by Lu Kang power plant heating enterprise.
B data analysis, theory calculate link
1) design heating load for thermal region is determined
In calculating for the whole design heating load for thermal region, do not adopt the square therm alindex budgetary estimate method that central heating is conventional, but the basic heat loss method adopting building to go along with sb. to guard him calculates, specifically such as formula (1-1)
Q′＝Q′
1·j+Q′
1·x+Q′
2+Q′
3(1-1)
The design heating load of Q ' in formula-heating system; Q '
1jthe basic heat loss of-building enclosure; Q '
1xthe correction heat consumption of-building enclosure; Q '
2-heat loss by infiltration; Q '
3-cold wind invades heat consumption.
The basic heat loss Q ' of building enclosure
1jequal the summation of its building enclosure various piece (door, window, wall, ground, roof etc.) basic heat loss, see formula (1-2).
Q′
1·j＝ΣK
iF
i(t
n-t′
w)a(1-2)
K in formula
ithe heat transfer coefficient of-building enclosure, W/ (m
2dEG C);
F
ithe area of-building enclosure, m
2; t
n-winter indoor calculate temperature, DEG C; T '
w-heating outdoor calculate temperature, DEG C, according to national heat supply correlation standard, Wulumuqi Area gets-22 DEG C;
The temperature difference correction factor of α-building enclosure.
The correction heat consumption of building enclosure is edited according to Lu Yaoqing, published by China Construction Industry Press, the related request of 1987.12 " the heating ventilator design manuals " published, relevant correction has been carried out to amendment of Correction Factor for Orientation, additional factor for wind force, additional factor for room height etc. three.Wherein amendment of Correction Factor for Orientation is selected according to the common Souteern Exposure of the northern area of China building construction, amendment of Correction Factor for Orientation x
chbe chosen as-15%; Additional factor for wind force x
faccording to the actual conditions of the mean wind speed 2-3m/s of representative power plant location heating season, need not consider that wind-force adds; Additional factor for room height x
gas requested, when room height is greater than 4m, often exceeding 1m should add 2%, and in representative power plant heating area, most of building mostly is civil buildings and public building, and how many building floor heights does not all reach correction requirement, therefore additional factor for room height also selects 0%.
Heat loss by infiltration Q '
2adopt the budgetary estimate method-rate of ventilation method of civil buildings to calculate, computing formula is
Q′
2＝0.278n
kV
nc
pρ
w(t
n-t′
w)(1-3)
N in formula
kthe rate of ventilation in-room, secondary/h, can select by table 1-1; V
nthe internal volume in-room, m
3;
C
pthe specific heat at constant pressure of-cold air, c
p=1kJ/ (kg DEG C); ρ
watmospheric density under-heating outdoor calculate temperature, kg/m
3.
Table 1-1 budgetary estimate rate of ventilation
Cold wind invades heat consumption Q '
3determination: according to representative power plant for the actual conditions in thermal region, civil buildings due to the external door short time open cause cold air to invade indoor heat consumption loss to account for the ratio of overall heat consumption less, the external door of the public building of long-term unlatching generally has warm air curtain to cover, therefore cold wind intrusion heat consumption is also chosen as 0.
2) radiator heat-dissipation area
Radiator heat-dissipation area F
scalculate by formula (2-1), concrete formula is
K in formula
sthe heat transfer coefficient of-radiator, W/ (m
2dEG C), t
pjheating agent mean temperature in-radiator, DEG C; β
1-radiator panel load number correction factor; β
2-radiator type of attachment correction factor; β
3-radiator installation form correction factor.
Heating agent mean temperature in radiator
the design load t of radiator feedwater and return water temperature
sg, t
sh95 DEG C and 70 DEG C are respectively, then t according to heating network design temperature
pj=82.5 DEG C.β
1, β
2, β
3all can select according to the relevant criterion of " heating ventilator design manual ".After the heat transfer coefficient of radiator is selected, radiator heat-dissipation area F
scan ask, and F
sbe a definite value after determining, no longer change.
3) consider that temperature Change is to the impact analysis of building heat dissipation capacity and heating load
According to the standard of the temperature up to standard 18 DEG C of China's heat supply in winter indoor temperature, when ambient temperature changes, the true heat gain value of building is
Q＝Q
1·j+Q
1·x+Q
2+Q
3(3-1)
The true heat gain value of Q-heating system in formula; Q
1jthe actual heat consumption of-building enclosure; Q
1xthe actual correction heat consumption of-building enclosure; Q
2the actual heat consumption of-Air Infiltration; Q
3-cold wind invades actual heat consumption.
In formula, the computing formula of each heat consumption is with reference to the formula of formula 1-2 and 1-3, the heating outdoor calculate temperature in formula is changed into the outdoor actual temperature of heating and calculates.
Actual heating amount Q
gfor
Q
g＝KF
sΔt
m(3-2)
K in formula-heat supply network overall heat exchange coefficient; Δ t
mthe logarithmic temperature difference of-heat supply network heat exchange,
Δ t
max=t
g-t
w; Δ t
min=t
h-t
n; t
g-actual feed temperature; t
h-actual temperature of return water; t
w-actual outdoor temperature; t
n-actual indoor temperature, gets 18 DEG C.
After confession is thermally-stabilised, indoor temperature is that maintenance 18 DEG C is constant, can think that actual heating amount and actual heat consumption reach dynamic balance, i.e. Q=Q
g.Simultaneous thus, the function obtaining heat supply network overall heat exchange COEFFICIENT K is
X in this function
ch, x
f, x
g, c
pall selected; When outdoor temperature one timing, ρ
wcan look into; V
nwith Σ K
if
ialso can according to data acquisitions such as the area ratio of window to wall of the absolute altitude of construction area, building, building.Therefore, this function is exactly the functional relation about heat supply network feed temperature, return water temperature and indoor and outdoor temperature.
4) power plant's heating period Peak Load basis for forecasting
Draw gas load and extraction steam for factories load of its electric load of steam-extracting type thermal power plant unit, heating all can independently regulate within the specific limits, mutually restricts again simultaneously.When determining certain thermic load, the adjusting range of electric load is restricted, and equally, when determining certain electric load, the adjusting range of thermic load is also restricted.Below for the specified extraction pressure working condition chart of certain 330MW steam-extracting type thermal power plant unit, the relation between thermoelectricity load is described, sees Fig. 1.Abscissa line is generator power, and the coordinate longitudinal axis is the total throttle flow of steam turbine, the i.e. evaporation capacity of boiler main steam.
In Fig. 1, black surround part is the operation area of unit when bearing thermic load, wherein the corresponding relation line of unit load and boiler capacity under the instant pure condensate operating mode of rightmost side oblique line.It should be noted that the vertical line of the leftmost side is the minimum power restraining line of the long-term safety operation of steam turbine, when practical application, minimum evaporation capacity during Boiler Stable Combustion should be considered, if when unit minimum steady combustion load is 150MW, corresponding boiler capacity is 530t/h, then the part that total throttle flow is less than 530t/h should be excised.Load restraining line when middle and lower part, leftmost side oblique line is turbine low pressure cylinder minimum throttle flow in Fig. 1, this line limits the minimum power of the unit when being with certain heating amount of drawing gas.During the 550t/h heating amount of drawing gas as maximum in unit band, the adjusting range that can check in unit electric load from figure is 235 ~ 265MW, and unit only has the load adjustment ability of 9%, does not substantially possess peak modulation capacity, and Primary frequency control ability also will be affected.Again such as: during the unit band 200t/h heating amount of drawing gas, the minimum evaporation capacity of boiler is set to 530t/h, then the adjusting range of unit electric load is 115 ~ 323MW, its underload energy force rate pure condensate operating mode also promotes to some extent.Therefore visible heating demand has larger impact to peak load regulation scope, and for this kind of unit, the general heating amount of drawing gas will contribute to unit and promote peak modulation capacity within 50% of the maximum amount of drawing gas, otherwise then have larger impact to peak modulation capacity.Different its critical point of unit is different.In Fig. 1, dotted line is the process control line in specified extraction steam for factories amount formula, and its boiler capacity corresponding with rightmost side pure condensate operating mode intersection point is minimum boiler capacity during the specified extraction steam for factories of unit band.As shown in FIG., unit is when being with specified extraction steam for factories, and under pure condensate operating mode, the minimum electric load of unit is 243MW, the non-190MW of unit minimum load when being with 300t/h heating to draw gas.The peak regulation of visible extraction steam for factories to unit also has a great impact, and pure condensate operating mode and the heating amount of drawing gas less time impact larger, therefore for being with extraction steam for factories simultaneously with the unit that heating is drawn gas, Heating Period will produce larger impact to peak load regulation network ability in the winter time.The extraction pressure drawing the working conditions form that different turbine making factory provides is incomplete same, but all reflects boiler capacity, generator power, relation between the heating amount of drawing gas and extraction steam for factories amount.
Calculated examples: existingly to predict 2013-2014 year heating period Lu Kang power plant heating amount, peak modulation capacity, predicts the outcome as shown in table 4-1.
Unit prediction peak modulation capacity at Biao4-1Lu Kang power plant varying environment temperature
Carried out comparative analysis to 2013-2014 year Heating Period Lu Kang power plant's prediction heating amount and actual heating amount, analysis result is in Table 4-2.
Table 4-22013-2014 annual prediction heating amount and actual heating amount contrast table
By Data Comparison, can find out that the actual heating amount of unit is all fluctuate near heat load prediction value, be accurate substantially.The fluctuation of heating amount causes because actual heat supply network feedwater flow and premeasuring exist certain deviation.But from overall trend, be feasible by the variation prediction heating load of environment temperature.
Carried out comparative analysis to 2013-2014 year Heating Period each thermal power plant unit prediction peak regulation scope and actual peak regulation scope, analysis result is in Table 4-3.
Table 4-32013-2014 annual prediction peak regulation scope and actual peak regulation scope contrast table
By Data Comparison, can find out, the actual peak regulation scope of 2013-2014 year thermal power plant unit does not exceed the peak regulation scope of prediction, proves that prediction is accurately.
Claims (1)
1. a thermal power plant unit heating peak modulation capacity Forecasting Methodology, it is characterized in that, it comprises the following steps:
(a) data acquisition link
Select representative at least one family power plant, the heat supply design data of its thermal power plant unit, heating equipment situation, industrial thermic load and Heating Load medium, parameter, mode are collected;
(b) data analysis, theory calculate link
1) design heating load for thermal region is determined
The basic heat loss method adopting building to go along with sb. to guard him calculates
Q′＝Q′
1·j+Q′
1·x+Q′
2+Q′
3(1-1)
The design heating load of Q ' in formula-heating system, Q '
1jthe basic heat loss of-building enclosure, Q '
1xthe correction heat consumption of-building enclosure, Q '
2-heat loss by infiltration, Q '
3-cold wind invades heat consumption;
The basic heat loss Q ' of building enclosure
1jequal it building enclosure each, window, wall, ground, roof basic heat loss summation
Q′
1·j＝ΣK
iF
i(t
n-t′
w)a(1-2)
K in formula
ithe heat transfer coefficient of-building enclosure, W/ (m
2dEG C), F
ithe area of-building enclosure, m
2, t
n-winter indoor calculate temperature, DEG C, t '
w-heating outdoor calculate temperature, DEG C, the temperature difference correction factor of α-building enclosure,
The correction heat consumption of building enclosure is edited according to Lu Yaoqing, published by China Construction Industry Press, the related request of 1987.12 " the heating ventilator design manuals " published, relevant correction is carried out to amendment of Correction Factor for Orientation, additional factor for wind force, additional factor for room height, wherein amendment of Correction Factor for Orientation is selected according to the common Souteern Exposure of the northern area of China building construction, amendment of Correction Factor for Orientation x
chbe chosen as-15%; Additional factor for wind force x
faccording to the actual conditions of the mean wind speed 2-3m/s of representative power plant location heating season, need not consider that wind-force adds; Additional factor for room height x
gas requested, when room height is greater than 4m, often exceeding 1m should add 2%, heat loss by infiltration Q '
2budgetary estimate method-rate of ventilation the method for civil buildings is adopted to calculate
Q′
2＝0.278n
kV
nc
pρ
w(t
n-t′
w)(1-3)
N in formula
kthe rate of ventilation in-room, secondary/h, can have exterior window or external door n by one side
kbe that 1/4 ~ 2/3, two faces have exterior window or external door n
kbe that 1/2 ~ 1, three faces have exterior window or external door n
kbe 1 ~ 1.5, entrance hall n
kbe 2, V
nthe internal volume in-room, m
3, c
pthe specific heat at constant pressure of-cold air, c
p=1kJ/ (kg DEG C), ρ
watmospheric density under-heating outdoor calculate temperature, kg/m
3,
Cold wind invades heat consumption Q '
3determination: according to representative power plant for the actual conditions in thermal region, civil buildings due to the external door short time open cause cold air to invade indoor heat consumption loss to account for the ratio of overall heat consumption less, the external door of the public building of long-term unlatching generally has warm air curtain to cover, therefore cold wind intrusion heat consumption is also chosen as 0;
2) radiator heat-dissipation area
Radiator heat-dissipation area F
scalculate by formula (2-1)
K in formula
sthe heat transfer coefficient of-radiator, W/ (m
2dEG C), t
pjheating agent mean temperature in-radiator, DEG C, β
1-radiator panel load number correction factor, β
2-radiator type of attachment correction factor, β
3-radiator installation form correction factor,
Heating agent mean temperature in radiator
the design load t of radiator feedwater and return water temperature
sg, t
sh95 DEG C and 70 DEG C are respectively, then t according to heating network design temperature
pj=82.5 DEG C, β
1, β
2, β
3all can select according to the relevant criterion of described " heating ventilator design manual ", after the heat transfer coefficient of radiator is selected, radiator heat-dissipation area F
scan ask, and F
sbe a definite value after determining, no longer change;
3) consider that temperature Change is to the impact analysis of building heat dissipation capacity and heating load
According to the standard of the temperature up to standard 18 DEG C of China's heat supply in winter indoor temperature, when ambient temperature changes, the true heat gain value of building is
Q＝Q
1·j+Q
1·x+Q
2+Q
3(3-1)
The true heat gain value of Q-heating system in formula, Q
1jthe actual heat consumption of-building enclosure, Q
1xthe actual correction heat consumption of-building enclosure, Q
2the actual heat consumption of-Air Infiltration, Q
3-cold wind invades actual heat consumption,
In formula, the computing formula of each heat consumption is with reference to the formula of formula 1-2 and 1-3, the heating outdoor calculate temperature in formula is changed into the outdoor actual temperature of heating and calculates,
Actual heating amount Q
gfor
Q
g＝KF
sΔt
m(3-2)
K in formula-heat supply network overall heat exchange coefficient, Δ t
mthe logarithmic temperature difference of-heat supply network heat exchange,
Δ t
max=t
g-t
w, Δ t
min=t
h-t
n, t
g-actual feed temperature, t
h-actual temperature of return water, t
w-actual outdoor temperature, t
n-actual indoor temperature, gets 18 DEG C,
After confession is thermally-stabilised, indoor temperature is that maintenance 18 DEG C is constant, can think that actual heating amount and actual heat consumption reach dynamic balance, i.e. Q=Q
g, simultaneous thus, the function obtaining heat supply network overall heat exchange COEFFICIENT K is
X in this function
ch, x
f, x
g, c
pall selected; When outdoor temperature one timing, ρ
wcan look into; V
nwith Σ K
if
ialso can according to data acquisitions such as the area ratio of window to wall of the absolute altitude of construction area, building, building, therefore, this function is exactly the functional relation about heat supply network feed temperature, return water temperature and indoor and outdoor temperature;
4) power plant's heating period Peak Load prediction
Utilize the specified extraction pressure working condition chart of representative power plant cogeneration turbine, and in conjunction with the prediction of heating load, realize the prediction of Turbo-generator Set electromotive power output, on this basis, and prediction has been made to the peak modulation capacity of representative thermal power plant unit heat supply phase.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510605520.XA CN105202623B (en) | 2015-09-21 | 2015-09-21 | A kind of thermal power plant unit heating peak modulation capacity Forecasting Methodology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510605520.XA CN105202623B (en) | 2015-09-21 | 2015-09-21 | A kind of thermal power plant unit heating peak modulation capacity Forecasting Methodology |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105202623A true CN105202623A (en) | 2015-12-30 |
| CN105202623B CN105202623B (en) | 2018-02-23 |
Family
ID=54950445
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510605520.XA Active CN105202623B (en) | 2015-09-21 | 2015-09-21 | A kind of thermal power plant unit heating peak modulation capacity Forecasting Methodology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105202623B (en) |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107062350A (en) * | 2017-05-03 | 2017-08-18 | 国网山东省电力公司电力科学研究院 | A kind of thermal power plant unit renewable energy Depth peak regulating method |
| CN108256739A (en) * | 2017-12-22 | 2018-07-06 | 国网北京市电力公司 | Load determination method and device applied to electric heating |
| CN108592172A (en) * | 2018-04-28 | 2018-09-28 | 国网北京市电力公司 | The load treating method and apparatus of electric heating equipment |
| CN109163375A (en) * | 2018-09-11 | 2019-01-08 | 哈尔滨顺易天翔热力技术开发有限公司 | Heat supply the whole network balances self-optimizing control system and method |
| CN109654651A (en) * | 2018-11-13 | 2019-04-19 | 珠海格力电器股份有限公司 | A kind of control method, system and storage medium identifying space thermic load |
| CN109977447A (en) * | 2018-09-28 | 2019-07-05 | 中国建筑科学研究院有限公司 | Method for calculating cooling and heating load of building |
| CN110425625A (en) * | 2019-08-07 | 2019-11-08 | 中新建源(天津)供热有限公司 | A kind of heating system and the method for controlling the heating system |
| CN110501377A (en) * | 2019-09-21 | 2019-11-26 | 张家港市恒强冷却设备有限公司 | The check method of heat exchange fin area in air heat exchanger |
| CN111027007A (en) * | 2019-12-30 | 2020-04-17 | 天津天大求实电力新技术股份有限公司 | Building characteristic-based heat demand prediction method and system for heat storage and heating system |
| CN113095623A (en) * | 2021-03-12 | 2021-07-09 | 国网河北能源技术服务有限公司 | Peak regulation capacity evaluation method for double-extraction heat supply unit |
| CN113375293A (en) * | 2021-06-01 | 2021-09-10 | 青岛海尔空调器有限总公司 | Display method and device for air conditioner and air conditioner |
| CN115264580A (en) * | 2022-07-21 | 2022-11-01 | 中国科学院沈阳自动化研究所 | Fuzzy set-based multi-heat-source heat supply amount calculation control method in uncertain heating period |
| CN115660325A (en) * | 2022-10-08 | 2023-01-31 | 国网山东省电力公司威海供电公司 | Power grid peak regulation capacity quantification method and system |
| CN117829558A (en) * | 2024-03-06 | 2024-04-05 | 天津迪比爱新能源科技有限公司 | Adjustment method of cogeneration unit under peak regulation operation |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102797516A (en) * | 2012-07-30 | 2012-11-28 | 吉林省电力有限公司辽源供电公司 | Universal power grid summit-eliminating valley-flattening storage power station beneficiated by various natural energies |
| CN102865623A (en) * | 2012-09-28 | 2013-01-09 | 季涛 | Centralized heating public building heat supply energy-saving control method |
| CN103107560A (en) * | 2011-11-15 | 2013-05-15 | 华北电力科学研究院有限责任公司 | Wind power access method and system based on heat supply unit participating power grid peak shaving |
| EP2738362A1 (en) * | 2012-12-03 | 2014-06-04 | RWE Effizienz GmbH | Cogeneration system |
| CN104373997A (en) * | 2014-10-17 | 2015-02-25 | 国网宁夏电力公司 | Method for determining heat storage capacity in wind power heating system |
-
2015
- 2015-09-21 CN CN201510605520.XA patent/CN105202623B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103107560A (en) * | 2011-11-15 | 2013-05-15 | 华北电力科学研究院有限责任公司 | Wind power access method and system based on heat supply unit participating power grid peak shaving |
| CN102797516A (en) * | 2012-07-30 | 2012-11-28 | 吉林省电力有限公司辽源供电公司 | Universal power grid summit-eliminating valley-flattening storage power station beneficiated by various natural energies |
| CN102865623A (en) * | 2012-09-28 | 2013-01-09 | 季涛 | Centralized heating public building heat supply energy-saving control method |
| EP2738362A1 (en) * | 2012-12-03 | 2014-06-04 | RWE Effizienz GmbH | Cogeneration system |
| CN104373997A (en) * | 2014-10-17 | 2015-02-25 | 国网宁夏电力公司 | Method for determining heat storage capacity in wind power heating system |
Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107062350A (en) * | 2017-05-03 | 2017-08-18 | 国网山东省电力公司电力科学研究院 | A kind of thermal power plant unit renewable energy Depth peak regulating method |
| CN107062350B (en) * | 2017-05-03 | 2019-01-15 | 国网山东省电力公司电力科学研究院 | A kind of thermal power plant unit renewable energy Depth peak regulating method |
| CN108256739A (en) * | 2017-12-22 | 2018-07-06 | 国网北京市电力公司 | Load determination method and device applied to electric heating |
| CN108256739B (en) * | 2017-12-22 | 2022-02-08 | 国网北京市电力公司 | Load determination method and device applied to electric heating |
| CN108592172A (en) * | 2018-04-28 | 2018-09-28 | 国网北京市电力公司 | The load treating method and apparatus of electric heating equipment |
| CN109163375A (en) * | 2018-09-11 | 2019-01-08 | 哈尔滨顺易天翔热力技术开发有限公司 | Heat supply the whole network balances self-optimizing control system and method |
| CN109163375B (en) * | 2018-09-11 | 2023-09-26 | 哈尔滨顺易天翔热力技术开发有限公司 | Heat supply whole network balance self-optimizing control system and method |
| CN109977447A (en) * | 2018-09-28 | 2019-07-05 | 中国建筑科学研究院有限公司 | Method for calculating cooling and heating load of building |
| CN109977447B (en) * | 2018-09-28 | 2023-02-21 | 中国建筑科学研究院有限公司 | Method for calculating cooling and heating load of building |
| CN109654651B (en) * | 2018-11-13 | 2020-12-18 | 珠海格力电器股份有限公司 | Control method and system for identifying space heat load and storage medium |
| CN109654651A (en) * | 2018-11-13 | 2019-04-19 | 珠海格力电器股份有限公司 | A kind of control method, system and storage medium identifying space thermic load |
| CN110425625A (en) * | 2019-08-07 | 2019-11-08 | 中新建源(天津)供热有限公司 | A kind of heating system and the method for controlling the heating system |
| CN110501377B (en) * | 2019-09-21 | 2021-09-17 | 张家港市恒强冷却设备有限公司 | Checking method for heat exchange fin area in air heat exchanger |
| CN110501377A (en) * | 2019-09-21 | 2019-11-26 | 张家港市恒强冷却设备有限公司 | The check method of heat exchange fin area in air heat exchanger |
| CN111027007A (en) * | 2019-12-30 | 2020-04-17 | 天津天大求实电力新技术股份有限公司 | Building characteristic-based heat demand prediction method and system for heat storage and heating system |
| CN113095623A (en) * | 2021-03-12 | 2021-07-09 | 国网河北能源技术服务有限公司 | Peak regulation capacity evaluation method for double-extraction heat supply unit |
| CN113375293A (en) * | 2021-06-01 | 2021-09-10 | 青岛海尔空调器有限总公司 | Display method and device for air conditioner and air conditioner |
| WO2022252655A1 (en) * | 2021-06-01 | 2022-12-08 | 青岛海尔空调器有限总公司 | Display method and apparatus for use in air conditioner, and air conditioner |
| CN115264580A (en) * | 2022-07-21 | 2022-11-01 | 中国科学院沈阳自动化研究所 | Fuzzy set-based multi-heat-source heat supply amount calculation control method in uncertain heating period |
| CN115660325A (en) * | 2022-10-08 | 2023-01-31 | 国网山东省电力公司威海供电公司 | Power grid peak regulation capacity quantification method and system |
| CN117829558A (en) * | 2024-03-06 | 2024-04-05 | 天津迪比爱新能源科技有限公司 | Adjustment method of cogeneration unit under peak regulation operation |
| CN117829558B (en) * | 2024-03-06 | 2024-05-10 | 天津迪比爱新能源科技有限公司 | Adjustment method of cogeneration unit under peak regulation operation |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105202623B (en) | 2018-02-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105202623A (en) | Method for predicting heating peak modulation capacity of heat supply unit | |
| Krzaczek et al. | Improved energy management technique in pipe-embedded wall heating/cooling system in residential buildings | |
| Eicker et al. | Design and performance of solar powered absorption cooling systems in office buildings | |
| Kelly et al. | Analysis of retrofit air source heat pump performance: Results from detailed simulations and comparison to field trial data | |
| Heinen et al. | Electrification of residential space heating considering coincidental weather events and building thermal inertia: A system-wide planning analysis | |
| Yang et al. | A demand-oriented approach for integrating earth-to-air heat exchangers into buildings for achieving year-round indoor thermal comfort | |
| Schimpf et al. | Simulation of a solar assisted combined heat pump–Organic rankine cycle system | |
| Sobhani et al. | Optimization of the renewable energy system for nearly zero energy buildings: A future-oriented approach | |
| CN109376912A (en) | Cooling heating and power generation system running optimizatin method based on civil building thermal inertia | |
| Olesen et al. | Dynamic Evaluation of the Cooling Capacity of Thermo-Active Building Systems. | |
| Macía et al. | Influence parameters on the performance of an experimental solar-assisted ground-coupled absorption heat pump in cooling operation | |
| Janssens et al. | Transforming social housing neighbourhoods into sustainable carbon neutral districts | |
| Hu et al. | Field study on cooling performance of a heat recovery ground source heat pump system coupled with thermally activated building systems (TABSs) | |
| Wen et al. | Sustainable underground environment integrating hybrid ventilation, photovoltaic thermal and ground source heat pump | |
| Usman et al. | A methodology for multi-criteria assessment of renewable integrated energy supply options and alternative HVAC systems in a household | |
| German et al. | Maximizing the benefits of residential pre-cooling | |
| CN106322501A (en) | Method and device for pipe network performance control | |
| Kalantar-Neyestanaki et al. | Uncertainty-cognizant model predictive control for energy management of residential buildings with pvt and thermal energy storage | |
| Laoufi et al. | Predicting Energy Requirement for Cooling and Heating the Building Located in South West of Algeria (Bechar) | |
| Ochs et al. | Monitoring and simulation-based optimization of two multi-apartment NZEBs with heat pump, solar thermal and PV | |
| Zhi et al. | A revised sizing method for borehole heat exchangers in the Chinese national standard based on reliability and economy | |
| Staepels et al. | Evaluation of indoor climate in low energy houses | |
| Noro et al. | High efficiency hybrid radiant and heat pump heating plants for industrial buildings: An energy analysis | |
| Nejma et al. | In-situ performance evaluation by simulation of a coupled air source heat pump/PV-T collector system | |
| Berisha et al. | The influence of the outside temperature during the design of a heating system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |